Abstract: In this paper, we analyze the information rate of a phase-noise discrete-time channel obtained by sampling the continuous-time channel.

Abstract—In this paper, we analyze the information rate of a phase-noise discrete-time channel obtained by sampling the continuous-time channel.

Motivated by the fact that modern receivers can collect sev eral samples per symbol interval, multi-sample scenarios have been recently investigated.

Mar 11, 2015 · The simulations show that oversampling is beneficial for both strong and weak phase noise at high SNR. In fact, the information rates are ...

The phase noise is assumed constant in each symbol time, and varies symbol by symbol according to (5). Bounds on information rates are evaluated by using ...

The simulations show that oversampling is beneficial for both strong and weak phase noise at high SNR, and the information rates are sometimes substantially ...

A simple upper bound on the information rate (IR) of digital communications over phase noise-impaired channels is proposed. In particular, the transmission ...

Abstract—We discuss the accuracy of the time-discrete phase noise model described by a random walk with symbol-period spaced Gaussian increments.

In this paper, the capacity of the oversampled Wiener phase noise (OWPN) channel is investigated. The OWPN channel is a discrete-time point-to-point channel ...

The simulations show that oversampling is beneficial for both strong and weak phase noise at high SNR. In fact, the information rates are sometimes ...